It’s another level of fucked up that myself and millions of other people are now having to rethink our entire lives because of AI technology that we didn’t want or ask for.
When the bubble bursts, there will be so many saying they didn't mean to hurt anyone. They didn't mean to put people out of work, to destroy their purpose, to steal their hope.
They'll say they had no idea the silly videos or the cartoon faces they made with AI were built on theft. They just wanted to do their work faster (and didn't want to admit AI actually slowed them down because others would think they weren't tech savvy and they might get left behind).
Taking jobs? Destroying skills? Devastating neighborhoods? Contributing to drought, soaring utilities, joblessness? They didn't mean to. That wasn't their goal.
What they'll mean is they chose to ignore the problems because they didn't think they'd be held responsible for contributing to them. They weren't really their problems, anyway. They were going to get ahead without having to work hard for it, without having to devote the years that others put in to the work AI stole.
What they'll mean is: the plan was for someone else to pay and they were fine with that.
When the bubble bursts, it will be too late to apologize. The bill will be due. The debt won't be forgiven.
"Stop the scraping" -> US publishers tell Common Crawl to stop scraping and delete archive
"They called on Common Crawl to immediately stop “scraping, retaining, or sharing copyrighted, paywalled, subscriber-only, or otherwise protected content from DCN member companies in its datasets”.
"They also requested that publisher content already in the Common Crawl datasets is removed." https://t.co/qRsgXNT2SR
5 years after the U.S. government sued Standard Oil, it was broken into 39 companies.
6 years after the first major antitrust case against Google…nothing has changed.
Same playbook, different century. Big Tech just keeps getting bigger. SHAME!
. @MSN has gone from syndicating AI slop to producing it themselves.
They followed Google’s playbook with AIO promised traffic via citations.
Don’t think publishers are going to see the traffic they are hoping for.
Soooooo many movies warned us for years
“When pressed, the AI expressed that it would kill humans for self-preservation”
But yeah let’s give AI GI the military
Remember, Genisys is Skynet.
Read More: https://t.co/YJGCRpO0wc
AOC voted down my resolution to release congressional sexual harassment records.
I don't want to hear one more word from her about Epstein.
She voted against the truth. She voted against survivors. She is a fraud.
Larry Ellison basically just said it out loud. ‘Your private data? Yeah, that's the secret sauce for AI... and lucky us, we've got the biggest pantry full of it.
What did you think the clouds were made of? Clouds aren't vapor. They're our emails, transactions, medical history, and every swallowed enterprise DB over the last 50 years.
Oracle isn't building AI. They're building the panopticon 2.0 and then making AI the prison guard. “Don’t worry—it’s for progress.”
🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up.
Not sometimes. Not until the next update. Always. They proved it with math.
Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level.
And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth.
Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do.
The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing.
So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up.
OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product.
This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent.
Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?